Risk Stratification of Endometrial Cancer Patients: FIGO Stage, Biomarkers and Molecular Classification

Multiparametric MRI-based radiomics combined with 3D deep transfer learning to predict cervical stromal invasion in patients with endometrial carcinoma

OBJECTIVE

To develop and compare various preoperative cervical stromal invasion (CSI) prediction models, including radiomics, three-dimensional (3D) deep transfer learning (DTL), and integrated models, using single-sequence and multiparametric MRI.

METHODS

Data from 466 early-stage endometrial carcinoma (EC) patients from three centers were collected. Radiomics models were constructed based on T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), apparent diffusion coefficient (ADC) mapping, contrast-enhanced T1-weighted imaging (CE-T1WI), and four combined sequences as well as 3D DTL models. Two integrated models were created using ensemble and stacking algorithms based on optimal radiomics and DTL models. Model performance and clinical benefits were assessed using area under the curve (AUC), decision curve analysis (DCA), net reclassification index (NRI), integrated discrimination index (IDI), and the Delong test for model comparisons.

RESULTS

Multiparametric MRI models were superior to single-sequence models for radiomics or DTL models. Ensemble and stacking integrated models displayed excellent performance. The stacking model had the highest average AUC (0.908) and accuracy (0.883) in external validation groups 1 and 2 (AUC = 0.965 and 0.851, respectively) and emerged as the best predictive model for CSI. All models significantly outperformed the radiologist (P < 0.05). In terms of net benefits, all models demonstrated favorable outcomes in DCA, NRI, and IDI, with the stacking model yielding the highest net benefit.

CONCLUSION

Multiparametric MRI-based radiomics combined with 3D DTL can be used to noninvasively predict CSI in EC patients with greater diagnostic accuracy than the radiologist. Stacking integrated models showed significant potential utility in predicting CSI. Which helps to provide new treatment strategy for clinicians to treat early-stage EC patients.

Comprehensive Review of Endometrial Cancer: New Molecular and FIGO Classification and Recent Treatment Changes

Endometrial cancer (EC) is the most common gynecologic malignancy in developed countries, with rising incidence due to aging populations and obesity-related factors. This review explores the evolving molecular and FIGO classifications of EC, highlighting their significance in diagnosis, prognosis, and personalized treatment strategies. Molecular subtyping based on The Cancer Genome Atlas (TCGA) classification offers a more precise understanding of EC, dividing it into POLE ultramutated, microsatellite instability-high (MSI-H), copy-number low (CNL), and copy-number high (CNH) subtypes. Each subgroup has distinct genetic, histological, and prognostic characteristics. Recent updates to the FIGO staging system incorporate molecular features, allowing for more tailored treatment approaches. Advances in immunotherapy, targeted therapies, and novel therapeutic combinations have reshaped clinical management. This review emphasizes the integration of molecular diagnostics into routine practice, outlining challenges and future perspectives in managing EC for improved patient outcomes.

The exciting journey of progress: Exploring FIGO 2023 staging for endometrial cancer at a leading ESGO institution

INTRODUCTION

The 2023 FIGO staging of endometrial cancer integrates tumor grade and histology along with molecular features that recognize the prognostic significance of p53 and POLE mutations, accounting for potential conflicts such as lymphovascular space invasion and subserosal invasion.

MATERIALS AND METHODS

In this single-institution retrospective study, data were collected on 229 endometrial cancer patients from January 2020 to September 2024 and re-stage them according to FIGO 2023 criteria.

RESULTS

From FIGO stage 2009 IA, 70 patients do not cross stage (21 are FIGO 2023 IA1 and 49 IA2), 8 patients are upgraded to FIGO IC because of aggressive histotype; 1 is upstaged because of substantial LVSI, and 12 because of aggressive myoinfiltrating tumors (23 % of upstaging). From FIGO 2009 stage IB 34 patients remain in FIGO 2023 IB, while 5 become stage IIB (LVSI) and 27 IIC (aggressive myoinfiltrating), for a total of 32 upstages (48 % of upstaging). Within FIGO 2009 stage II, no proper upstage was possible. We observed a statistical correlation between stages and BMI, as well as between stages and age, for both FIGO 2009 (p = 0.009 and p < 0.001 respectively) and FIGO 2023 (p = 0.002 and p = 0.003 respectively) classifications. Additionally, a correlation was found between tumor grade and BMI (p = 0.02).

CONCLUSIONS

The FIGO 2023 staging system is gaining importance as recent studies highlight the role of molecular classification in prognosis and personalized therapy. Updating our study's follow-up data will clarify its impact in clinical practice.

CircRNA-miRNA-mRNA interactome analysis in endometrial cancer

In recent years, exploring the potential of miRNAs as novel diagnostic, prognostic and diagnostic markers have gained much attention. In current study, we conducted an in-depth circRNA-miRNA-mRNA interactome to reveal significant molecular processes and biological pathways putatively associated with endometrial cancer (EC). Firstly, we retrieved two circRNAs from circad, hsa_circ_0002577 & hsa_circ_0109046, based on their association with the EC. Subsequently, we predicted miRNAs sponging sites in the two circRNAs and the potential target mRNAs of the predicted miRNAs. Sequestered miRNAs target a number of oncogenes (CBL, MET, KRAS), tumor suppressor (CFT R), receptor protein kinases & GT Pase (MET, KRAS, RAB1B), methyltransferases (SET D8), receptors associated factors (T RAF2, GRB2), growth factors (FGF20), autophagy (BECN1, AT G14), apoptotic regulators (BCL2), transcription factors (T Fs) (CREB1, RUNX1, RUNX2) and gene regulators (CCND1, HIF1A); and others, including some novel gene candidates (CREB1, FGF20, IFI27), that have never been implicated in EC earlier. The expression of hsa-miR-433-3p showed significant predictive relevance (Fold Change = 1.8, AUC = 0.736, Mann-Whitney test p-value = 6.1 e- 14) suggesting its predictive relevance in assessing patients' response to chemotherapy. The hsamiR- 188-3p targets autophagic and apoptotic regulators and its upregulation in endometriosis may be used as for the early stage diagnostic purpose. The hsa-miR-502-5p targets SET D8, T RAF2 and others and suggests additional genomic/epigenomic molecular targets for promising therapeutic interventions in EC. Predicted miRNAs target a number of mRNAs having varied functional impacts and offer an in-depth mechanistic insights for expatiating the biological and regulatory role in EC.Communicated by Ramaswamy H. Sarma.

Minimally invasive surgery versus open surgery in advanced stage endometrial cancer

AIM

Staging surgery in early stage endometrial cancer has been shown to be feasible and safe with minimally invasive surgery (MIS) in many previous studies. However, there is limited literature on MIS's safety in advanced stages. This study aims to identify factors associated with survival in stage III endometrial cancer and investigate survival differences based on surgical approach.

METHODS

Patients with stage III endometrial cancer who underwent staging surgery from March 2002 to March 2023 were included in this study. Various clinicopathological features, disease-free survival (DFS), and overall survival (OS) were evaluated.

RESULTS

Among the 79 patients included in this study, 20 patients underwent MIS (25.3%) and 59 patients underwent open surgery (74.7%). The open surgery group had a higher prevalence of aggressive histology, a higher median pretreatment CA-125 level, and a greater number of harvested lymph nodes compared to the MIS group. Five-year OS and DFS was higher in the open surgery group than in the MIS group (DFS: 67.9% vs. 59.9%, p = 0.046; OS: 74.3 vs. 50.6%, p = 0.008). In multivariate analysis, younger than 55 years old (OR, 2.778; 95% CI, 1.078-7.156; p = 0.034), and open surgery (OR, 3.671; 95% CI, 1.581-8.522; p = 0.002) was related to improved OS.

CONCLUSIONS

Open staging surgery showed better survival outcomes when compared to MIS in stage III endometrial cancer patients in our study. For patients who are older than 55 years old and have aggressive histology in endometrial biopsy, considering open surgery may help improve their prognosis, even if preoperative MRI suggests early-stage endometrial cancer.

Linoleic acid exhibits anti-proliferative and anti-invasive activities in endometrial cancer cells and a transgenic model of endometrial cancer

Emerging evidence has provided considerable insights into the integral function of reprogramming fatty acid metabolism in the carcinogenesis and progression of endometrial cancer. Linoleic acid, an essential fatty acid with the highest consumption in the Western diet regimen, has shown pro-tumorigenic or anti-tumorigenic effects on tumor cell growth and invasion in multiple types of cancer. However, the biological role of linoleic acid in endometrial cancer remains unclear. In the present study, we aimed to investigate the functional impact of linoleic acid on cell proliferation, invasion, and tumor growth in endometrial cancer cells and in a transgenic mouse model of endometrial cancer. The results showed that Linoleic acid significantly inhibited the proliferation of endometrial cancer cells in a dose-dependent manner. The treatment of HEC-1A and KLE cells with linoleic acid effectively increased intracellular reactive oxygen species (ROS) production, decreased mitochondrial membrane potential, caused cell cycle G1 arrest, and induced intrinsic and extrinsic apoptosis pathways. The anti-invasive ability of linoleic acid was found to be associated with the epithelial-mesenchymal transition process in both cell lines, including the decreased expression of N-cadherin, snail, and vimentin. Furthermore, treatment of Lkb1fl/flp53fl/fl transgenic mice with linoleic acid for four weeks significantly reduced the growth of endometrial tumors and decreased the expression of VEGF, vimentin, Ki67, and cyclin D1 in tumor tissues. Our findings demonstrate that linoleic acid exhibits anti-proliferative and anti-invasive activities in endometrial cancer cell lines and the Lkb1fl/flp53fl/fl mouse model of endometrial cancer, thus providing a pre-clinical basis for future dietary interventions with linoleic acid in endometrial cancer.

Combination of circulating tumor cells, lncRNAs and DNA methylation for the diagnosis of endometrial carcinoma

Endometrial carcinoma (EC) is one of the most common gynecological malignant neoplasms, the prognosis of which is strongly related to the time of diagnosis, with an earlier diagnosis leading to a better prognosis. Therefore, effective diagnostic indicators and methods are needed to ensure early detection. The present study explored the following in EC: Circulating tumor cells (CTCs); the long noncoding RNAs (lncRNAs) RP4-616B8.5, RP11-389G6.3 and carboxy-terminal domain (CTD)-2377D24.6; and the methylation of cysteine dioxygenase type 1 (CDO1) and CUGBP Elav-like family member 4 (CELF4). In total, 85 patients, including 71 with EC, and 14 without EC (NO-EC) but with uterine fibroids or polyps, were included in the present study. In total, 46 patients with EC and 8 NO-EC patients underwent CTC detection. In the evaluation of the EC vs. NO-EC groups, the results showed that the CTC-positive rate of the EC group was 80.43% and that the area under the curve (AUC) value of CTCs was 0.8872 (P=0.0098). A total of 35 patients with EC and 14 NO-EC patients underwent detection of the RP4-616B8.5, RP11-389G6.3 and CTD-2377D24.6 lncRNAs. When the levels of the three lncRNAs RP4-616B8.5, RP11-389G6.3 and CTD-2377D24.6 were compared between the EC and NO-EC groups, they were higher in the EC group; the P-values were 0.0002, 0.0001 and <0.0001, respectively, and the AUC values were 0.8184, 0.8347 and 0.8265, respectively. In addition, a total of 35 patients with EC and 8 NO-EC patients underwent CDO1 and CELF4 DNA methylation analysis. The positive rates of the methylated genes CDO1 and CELF4 were 20% (7/35) and 5.71% (2/35), and the P-values of the comparisons between the EC and NO-EC groups were 0.1748 and 0.5004, respectively; the AUC values were 0.6000 and 0.5286. Furthermore, the combination of CTCs, and lncRNAs RP4-616B8.5, RP11-389G6.3 and CTD-2377D24.6 exhibited high performance in the detection of EC (AUC=0.9375).

Apparent Diffusion Coefficient on Diffusion-Weighted Magnetic Resonance Imaging to Predict the Prognosis of Patients with Endometrial Cancer: A Meta-Analysis

Apparent diffusion coefficient (ADC) derived from diffusion-weighted magnetic resonance imaging (DWI) may help diagnose endometrial cancer (EC). However, the association between ADC and the recurrence and survival of EC remains unknown. We performed a systematic review and meta-analysis to investigate whether pretreatment ADC on DWI could predict the prognosis of women with EC. PubMed, Embase, and Cochrane's Library were searched for relevant cohort studies comparing the clinical outcomes between women with EC having low versus high ADC on pretreatment DWI. Two authors independently conducted data collection, literature searching, and statistical analysis. Using a heterogeneity-incorporating random-effects model, we analyzed the results. In the meta-analysis, 1358 women with EC were included from eight cohort studies and followed for a median duration of 40 months. Pooled results showed that a low pretreatment ADC on DWI was associated with poor disease-free survival (DFS, hazard ratio [HR]: 3.29, 95% CI: 2.04 to 5.31, p < 0.001; I2 = 41%). Subgroup analysis according to study design, tumor stage, MRI Tesla strength, ADC cutoff, follow-up duration, and study quality score showed consistent results (p for subgroup analysis all > 0.05). The predictive value of low ADC for poor DFS in women with EC decreased in multivariate studies compared to univariate studies (HR: 2.59 versus 32.57, p = 0.002). Further studies showed that a low ADC was also associated with poor overall survival (HR: 3.36, 95% CI: 1.33 to 8.50, p = 0.01, I2 = 0). In conclusion, a low ADC on pretreatment DWI examination may predict disease recurrence and survival in women with EC.

Molecular classification of endometrial cancer: preliminary experience from a single Portuguese academic center

Background

Since the seminal publication of the TCGA consortium in 2013, the molecular classification of endometrial cancer has been widely accepted as a new and powerful tool to better understand the natural history of this malignancy. Adoption of routine molecular classification around the world has been limited. We sought to demonstrate our initial experience in incorporating the four molecular subtypes for endometrioid carcinomas.

Methods

This was a retrospective analysis at a single center in Portugal. Molecular classification was determined using immunohistochemical staining for MMR and p53 and Sanger Sequencing to determine POLE mutation status as per published PROMISE method. Descriptive statistics were reported.

Results

20 patients with endometrioid histology were included. Median age of the cohort was 64 years (range 45-76). Median Body Mass Index (kg/m2) was 29.81 (range 21.3-43.1). In terms of tumor grading, 16 (80%) of the endometrial carcinomas of the cohort were low-grade (either grade 1 or grade 2). 16 (80%) of the cases were FIGO stage I. Regarding the molecular classification the tumors were classified as: MMRd [n = 6 (30%)]; p53 abn [n = 2 (10%)]; NSMP (n = 10 (50%)), POLE ultramut [n = 2 (10%)].

Conclusion

Despite the small sample size, we were able to show that molecular classification is feasible. To our knowledge this is the first cohort of endometroid endometrial carcinomas fully characterized according to the TCGA classification in Portugal, from one single center.

Molecular classification of endometrial carcinoma on endometrial biopsy: an early prognostic value to guide personalized treatment

OBJECTIVE

Molecular features are essential for estimating the risk of recurrence and impacting overall survival in patients with endometrial cancer. Additionally, the surgical procedure itself could be personalized based on the molecular characteristics of the tumor. This study aims to assess the feasibility of obtaining reliable molecular classification status from biopsy specimens collected during hysteroscopy to better modulate the appropriate surgical treatment.

METHODS

This monocentric, retrospective, observational study was conducted on 106 patients who underwent a biopsy procedure followed by radical surgery for endometrial cancer, with concurrent molecular investigation. The molecular classification was determined through immunohistochemical staining for p53 and mismatch repair proteins, along with gene sequencing for POLE.

RESULTS

Overall, 106 patients underwent molecular investigation, which was finally achieved on 99 patients (93.4%). Among these, the molecular analysis was conducted in 71 patients (67%) on the pre-operative endometrial biopsy and on the final uterine specimen in 28 patients (26.4%). Most of the endometrial biopsies were performed using Bettocchi hysteroscopy (66%). Molecular analysis was not possible in seven patients (6.6%), with six cases due to sample inadequacy and one case attributed to intra-mucosal carcinoma. The molecular results showed that the copy number low sub-group was the most common, and five cases of 'multiple classifiers' were observed in the low-risk category.

CONCLUSION

Our experience in obtaining molecular information from biopsy samples underscores the feasibility and efficacy of this technique, even in small tissue samples. This capability helps define the prognostic group of patients, facilitates timely decision-making, and develops a personalized strategy for each patient.

Management of endometrial cancer in Latin America: raising the standard of care and optimizing outcomes

Molecular characterization of endometrial cancer is allowing for increased understanding of the natural history of tumors and paving a more solid pathway for novel therapies. It is becoming increasingly apparent that molecular classification is superior to histological classification in terms of reproducibility and prognostic discrimination. In particular, the Proactive Molecular Risk Classifier for Endometrial Cancer allows classification of endometrial cancer into groups very close to those determined by the Cancer Genome Atlas Research Network-that is, DNA polymerase epsilon-mutated, mismatch repair-deficient, p53 abnormal, and non-specific molecular profile tumors. The transition from the chemotherapy era to the age of targeted agents and immunotherapy, which started later in endometrial cancer than in many other tumor types, requires widespread availability of specialized pathology and access to novel agents. Likewise, surgical expertise and state-of-the-art radiotherapy modalities are required to ensure adequate care. Nevertheless, Latin American countries still face considerable barriers to implementation of international guidelines. As we witness the dawn of precision medicine as applied to endometrial cancer, we must make continued efforts towards improving the quality of care in this region. The current article discusses some of these challenges and possible solutions.

A 10-Year Retrospective Cohort Study of Endometrial Cancer Outcomes and Associations with Lymphovascular Invasion: A Single-Center Study from Germany

This 10-year retrospective cohort study at a single-center clinic in Germany aimed to analyze the outcomes of endometrial cancer patients and explore the impact of lymphovascular invasion (LV) on patient outcomes and disease-free survival (DFS). Identifying correlations among demographic data, tumor characteristics, treatment modalities, and survival outcomes could enhance patient management and improve survival rates. The study encompassed patients diagnosed and treated for endometrial cancer from January 2010 to December 2020. Clinical and pathological data were extracted from medical records for 311 patients, focusing on variables such as age, histological type, tumor grade, type of surgical treatment, and adjuvant therapies. Survival analysis was conducted using the Kaplan-Meier method and multivariate Cox proportional hazard models to identify factors independently associated with survival. The study demonstrated that lymphovascular invasion significantly impacted survival outcomes on Kaplan-Meier analysis (log-rank p-value = 0.0058). Patients with LV showed a marked decrease in DFS compared to those without LV invasion, with a median DFS of 3.2 years and a hazard ratio of 2.18 (95% CI: 1.56-3.04, p < 0.001). Furthermore, high-grade tumors and p53 positivity were strongly associated with reduced DFS, with hazard ratios of 1.93 (p = 0.001) and 2.11 (p < 0.001), respectively. Patients with distant metastasis exhibited the most significant decline in survival, with a hazard ratio of 5.56 (95% CI: 2.45-10.18, p < 0.001). Despite comprehensive surgical and adjuvant therapies, these high-risk factors dictated poorer outcomes. The presence of lymphovascular invasion, high-grade tumors, and genetic markers like MSI and p53 are pivotal in predicting the course of endometrial cancer. This study underscores the necessity for aggressive management strategies in patients exhibiting these high-risk features to potentially improve prognosis and survival outcomes. The findings advocate for enhanced therapeutic strategies tailored to the biological behavior of the tumor, thereby aiming to elevate the overall survival rates for women diagnosed with endometrial cancer.

Prognostic nomogram for predicting the overall survival rate of patients with uterine clear-cell carcinoma: Based on SEER database

OBJECTIVE

To evaluate the risk factors for uterine clear-cell carcinoma (UCCC) and construct nomograms predicting 1-, 3-, and 5-year overall survival rates of patients with UCCC.

METHODS

The demographic and clinical information of 1674 patients diagnosed with UCCC between 2004 and 2015, including age, race, marital status, tumor size, American Joint Committee on Cancer (AJCC) stage, and details of surgery and radiotherapy/chemotherapy, was collected from the Surveillance, Epidemiology, and End Results (SEER) database. After excluding patients with unknown AJCC stage, race, marital status, or lymph node information, 1469 patients remained. Risk factors were determined using univariate and multivariate analyses, and nomograms were developed to predict 1-, 3-, and 5-year overall survival of UCCC. Various indicators were used to evaluate the performance of the nomogram, such as the C-index, net classification improvement (NRI) and decision curve analysis (DCA).

RESULTS

Age, log odds of positive lymph nodes, AJCC stage, surgery status, and chemotherapy status were independent risk factors for UCCC. The C-indexes of the training group and AJCC stage groups were 0.771 and 0.697, respectively. The results for the area under the receiver operating characteristics curve, NRI, and calibration curves indicated that the nomogram had good predictive ability. DCA revealed that the nomogram had greater clinical applicability than AJCC stage alone. Internal validation using the validation cohort also demonstrated that this nomogram had good predictive performance.

CONCLUSION

A new nomogram comprising a combination of demographic and clinical characteristics provided better survival predictions than the AJCC staging system alone, which will facilitate prognostic assessments and clinical decision-making.

KIF2A correlates with lymphovascular invasion and higher tumor stage, and can be used to predict worse prognosis in patients with endometrial carcinoma

Kinesin family protein 2A (KIF2A) is a microtubule depolymerase that participates in the progression of various cancers; however, its clinical utility in endometrial carcinoma (EC) remains unclear. The aim of the present study was to assess KIF2A expression and its relationship with prognosis in patients with EC. Data from 230 patients with EC who underwent tumor resection were reviewed in the current, retrospective study. KIF2A expression was measured in 230 formalin-fixed paraffin-embedded (FFPE) specimens of tumor tissue and 50 FFPE specimens of non-tumor tissue using immunohistochemistry (IHC). KIF2A expression was elevated in EC tumor tissue vs. non-tumor tissue (P<0.001). Furthermore, tumor KIF2A expression was linked with lymphovascular invasion (P=0.004) and higher International Federation of Gynecology and Obstetrics (FIGO) stage (P=0.001). High tumor KIF2A expression (IHC score>3) was correlated with shorter disease-free survival (DFS; P=0.014) and overall survival (OS; P=0.012). Moreover, the time-dependent receiver operating characteristic curves revealed that tumor KIF2A expression had an acceptable use for estimating the relapse and death risks at each timepoint within 6 years, with each area under the curve remaining stable at ≥0.7. Notably, tumor KIF2A expression (high vs. low) independently forecast shorter DFS (hazard ratio, 2.506; P=0.013), but not OS (P>0.05). Furthermore, information from The Human Protein Atlas database indicated that high tumor KIF2A expression was associated with worse OS in patients with EC (P=0.027). Tumor KIF2A is not only associated with lymphovascular invasion and higher FIGO stage, but also reflects unfavorable survival in patients with EC.

Longitudinal Analysis of the Overall Survival Rates and Transitional Probabilities of Endometrial Cancer Patients: A Comprehensive Retrospective Study in Thailand

BACKGROUND

This investigation delineated the survival rates and transitional probability trends of patients with endometrial cancer. This information is pivotal for optimizing patient management and counseling strategies.

METHODS

We conducted a retrospective cohort analysis of patients diagnosed with stage I or II endometrial cancer between November 2006 and October 2012 and those diagnosed with stage III or IV endometrial cancer between January 2012 and May 2017 at Siriraj Hospital, Bangkok, Thailand. Our examination included baseline demographics, clinical characteristics, and adjuvant therapy data. Survival rates and transitional probabilities were assessed using the Kaplan-Meier method for survival curve construction and Markov models, respectively.

RESULTS

After exclusions, 229 individuals with early-stage endometrial cancer and 119 with advanced-stage histologically verified endometrial cancer were included in the final cohort. Throughout a median follow-up duration of 12.8 years, the 5-year overall survival rates were 89.05% for the early-stage cohort and 50.42% for the advanced-stage cohort. The transitional probability analysis revealed an elevated likelihood of achieving a curative state in early-stage patients, contrasting with a greater propensity for disease progression or distant metastasis in advanced-stage patients.

CONCLUSIONS

The findings from this study offer critical insights into the overall survival rates and transitional probabilities of endometrial cancer patients. These insights underscore the importance of strategies focused on preventing recurrence and enhancing treatment. Moreover, the results serve as a cornerstone for clinicians in devising individualized treatment plans and facilitating cost-effective analyses in the context of endometrial cancer care.

Cytotoxic Effect of Phoenix dactylifera (Iraqi Date) Leaves and Fruits Extracts against Breast Cancers Cell Lines

OBJECTIVE

Now a day's cancerous diseases are the most prevalent life threatening that spreading because of the lifestyle. Its due to uncontrolled growth of cell which can be cured if diagnosed in early stage. Treatment of cancer depends on the various internal and external factors causing cancer. The main objective of this study is using herbal based medicine to manage breast cancer, the second most common type of cancer in the world.

METHODS

In this study, the anticancer effect of two Iraqi date palm part extracts (leaves and fruits) against panel of breast cancer cell lines (AMJ13و MCF7, MDA-MB-231, CAL51) in vitro to evaluate their possible antitumor effect and their safety on normal cell line (MEF).

RESULTS

The Phoenix dactylifera (dray Zahdi) fresh leave extract showed highly cytotoxic effects in all breast cancer cell lines. The leaves extract was showed concentration dependent cytotoxicity effects after 72 h exposure time. Leave extracts was effective against AMJ13 cell line. The effective concentrations in both cancer cells ranged from 2500-20000 μg/ ml with inhibition percentage against AMJ13 was (66.7, 70.6, 53, and 54%). While the effect against MCF7, MDA-MB, and CAL51 cell lines were less with significant effect only at two concentrations (10000- 20000 μg/ ml) causing 64.3, and 64.3% growth inhibition respectively in MCF7, and 40, and 50% respectively in MDA-MB, and 44.0, and 52.0% respectively in CAL51. The dray date fruit extract has no significant cytotoxicity against all the cancer cells. Both extracts have no effect against normal fibroblast cells.

CONCLUSION

In conclusion, Phoenix dactylifera fresh leave extract shows promising anticancer properties while the fruit extract has no direct anticancer effect.

CircABHD2 Inhibits Malignant Progression of Endometrial Cancer by Regulating NAD+/NAMPT Metabolism Axis

Circular RNAs (circRNAs) perform important functions in the regulation of diverse physiological and pathological processes. CircABHD2 exhibits down-regulation in both endometrial cancer (EC) cells and tissues, but the biological roles and mechanisms of action in EC are still unclear. This study aims to provide a theoretical basis for the role of circABHD2 in EC and potential targets for individualized precision therapy. Dysregulated circRNAs were identified using RNA sequencing (RNA-Seq) from EC tissues and validated using RT-qPCR. CCK-8, colony formation assay, wound healing assay, transwell assay, cell cycle, and apoptosis assay were used to evaluate the effects of circABHD2 on EC cells. Metabolomics assay and western blot analyses were used to investigate the potential mechanisms of circABHD2. From sequencing of RNA (RNA-Seq) analysis of EC tissues, we obtained 19 dysregulated circRNAs, including 8 upregulated ones and 11 downregulated ones. Using RT-qPCR on 32 EC tissues and 19 normal endometrial tissues, we confirmed that circABHD2 was downregulated in EC tissues. The expression levels of circABHD2 were closely relevant to the International Federation of Gynecology and Obstetrics (FIGO) stage and differentiation degree of EC. Functional experiments demonstrated that overexpression of circABHD2 decreased proliferation, migration, invasion, and promoted cell apoptosis. Un-targeted metabolomic assay revealed 31 differential metabolites in EC cells overexpressing circABHD2. KEGG analysis of differential metabolites indicated that NAD+ is the core metabolite regulated by circABHD2. NAMPT is one key enzyme involved in the synthetic pathway responsible for NAD+. Subsequent experiments confirmed that by inhibiting NAMPT protein expression in EC cells, cirABHD2 can inhibit NAD+ level, suggesting that circABHD2 may inhibit EC by regulating the metabolic axis of NAD+/NAMPT. CircABHD2, a downregulated circRNA in EC cells and tissues, inhibits the malignant progression of EC via the NAD+/NAMPT metabolic axis. This discovery presents a promising diagnostic biomarker and potential therapeutic target for EC.

AI-based histopathology image analysis reveals a distinct subset of endometrial cancers

Endometrial cancer (EC) has four molecular subtypes with strong prognostic value and therapeutic implications. The most common subtype (NSMP; No Specific Molecular Profile) is assigned after exclusion of the defining features of the other three molecular subtypes and includes patients with heterogeneous clinical outcomes. In this study, we employ artificial intelligence (AI)-powered histopathology image analysis to differentiate between p53abn and NSMP EC subtypes and consequently identify a sub-group of NSMP EC patients that has markedly inferior progression-free and disease-specific survival (termed 'p53abn-like NSMP'), in a discovery cohort of 368 patients and two independent validation cohorts of 290 and 614 from other centers. Shallow whole genome sequencing reveals a higher burden of copy number abnormalities in the 'p53abn-like NSMP' group compared to NSMP, suggesting that this group is biologically distinct compared to other NSMP ECs. Our work demonstrates the power of AI to detect prognostically different and otherwise unrecognizable subsets of EC where conventional and standard molecular or pathologic criteria fall short, refining image-based tumor classification. This study's findings are applicable exclusively to females.

Abnormal Uterine Bleeding: A Pictorial Review on Differential Diagnosis and Not-So-Common Cases of Interventional Radiology Management

Abnormal uterine bleeding (AUB) poses a multifaceted challenge in women's health, necessitating an integrated approach that addresses its diverse etiologies and clinical presentations. The International Federation of Gynecology and Obstetrics PALM-COEIN classification system provides a systematic approach to the diagnosis of AUB in non-pregnant women, based on clinical and imaging-based categorization of causes into structural (Polyps, Adenomyosis, Leiomyomas and Malignancy; PALM), and non-structural causes (Coagulopathies, Ovulatory disorders, primary Endometrial disorders, Iatrogenic and Not otherwise classified; COEIN). On the other hand, placental disorders, uterine rupture, ectopic pregnancy and retained products of conceptions are the main causes of uterine bleeding during pregnancy and in the peripartum period. Ultrasound is usually the first-line imaging technique for the differential diagnosis of causes of AUB. Computed Tomography may be useful if ultrasound findings are unclear, especially in emergency settings. Magnetic resonance imaging, when indicated, is an excellent second-line diagnostic tool for a better non-invasive characterization of the underlying cause of AUB. This pictorial review aims to illustrate the main causes of AUB from the point of view of diagnostic imaging and to show not-so-common cases that can be treated by means of interventional radiology.

Accuracy of endometrial sampling in the diagnosis of endometrial cancer: a multicenter retrospective analysis of the JAGO-NOGGO

BACKGROUND

Accurate preoperative molecular and histological risk stratification is essential for effective treatment planning in endometrial cancer. However, inconsistencies between pre- and postoperative tumor histology have been reported in previous studies. To address this issue and identify risk factors related to inaccurate histologic diagnosis after preoperative endometrial evaluation, we conducted this retrospective analysis.

METHODS

We conducted a retrospective analysis involving 375 patients treated for primary endometrial cancer in five different gynaecological departments in Germany. Histological assessments of curettage and hysterectomy specimens were collected and evaluated.

RESULTS

Preoperative histologic subtype was confirmed in 89.5% of cases and preoperative tumor grading in 75.2% of cases. Higher rates of histologic subtype variations (36.84%) were observed for non-endometrioid carcinomas. Non-endometrioid (OR 4.41) histology and high-grade (OR 8.37) carcinomas were identified as predictors of diverging histologic subtypes, while intermediate (OR 5.04) and high grading (OR 3.94) predicted diverging tumor grading.

CONCLUSION

When planning therapy for endometrial cancer, the limited accuracy of endometrial sampling, especially in case of non-endometrioid histology or high tumor grading, should be carefully considered.

Evaluating the Prognostic Factors and Survival Rates of Endometrial Cancer Patients in a Tertiary Referral Hospital in Northeast Thailand

OBJECTIVES

This study aims to determine the 5-year and 10-year overall survival rates, mortality incidence, median survival time, and factors influencing the survival of endometrial cancer (EC) patients' post-diagnosis at the largest hospital in northeast Thailand. We particularly focus on the impact of access to health insurance schemes.

METHODS

We conducted a retrospective analysis of data from EC patients admitted to Srinagarind Hospital between 2010 and 2019. Overall survival was estimated using the Kaplan-Meier method. Multivariate Cox regression analysis identified factors associated with survival, with results expressed as adjusted hazard ratios (AHR) and 95% confidence intervals (CI).

RESULTS

Among the 673 patients, the 5-year overall survival rate stood at 76.43% (95% CI: 72.72-79.70), and the 10-year rate at 67.86% (95% CI: 62.98-72.25). Notably, advanced age (≥60 years), stage III and IV cancer, and non-endometrioid histopathology were found to significantly increase post-diagnosis mortality risk (AHR = 2.39, 3.13, 4.62; 95% CI: 1.03-5.53, 2.07-4.74, 2.66-8.04; p-value <0.05, <0.001, <0.001). Surprisingly, we observed no significant correlation between health insurance schemes and mortality risk, suggesting that different insurance programs did not significantly affect EC patient survival in this study.

CONCLUSION

health insurance schemes had no significant impact on endometrial cancer patient outcomes in Thailand, likely due to comprehensive coverage. Treatment modalities, notably surgery, showed no statistically significant differences, possibly due to early diagnosis. High-risk groups may benefit from adjuvant therapy. Early surgical intervention is crucial, with its association with disease stage emphasized. These findings inform cancer care decisions and healthcare policy development.
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Prognosis of Stage I Endometrial Cancer According to the FIGO 2023 Classification Taking into Account Molecular Changes

Optimum risk stratification in an early stage of endometrial cancer (EC) combines molecular and clinicopathological features. The purpose of the study was to determine the prognostic value of molecular classification and traditional pathological factors in a sample group of patients with stage I EC according to the FIGO 2023 criteria, to achieve a more personalized approach to patient care and treatment. The immunohistochemistry for p53 and mismatch repair (MMR) proteins, and DNA sequencing for POLE exonuclease domain and clinicopathological parameters, including disease disease-free survival (DFS) and overall survival (OS) in 139 patients, were analyzed. It has been shown that the independent recurrence risk factors are stage IC (p < 0.001), aggressive histological types EC (p < 0.001), and the presence of p53abn protein immunoexpression (p = 0.009). Stage IC (p = 0.018), aggressive histological types EC (p = 0.025) and the presence of p53abn protein immunoexpression (p = 0.010) were all significantly associated with lower 5-year OS rates. Our research studies confirm that the molecular category corresponds to a different prognosis in clinical stage I EC according to the new 2023 FIGO classification, with POLEmut cases presenting the best outcomes and p53abn cases showing the worst outcomes. Beyond the previous routine clinicopathological assessment, the new EC staging system represents an important step toward improving our ability to stratify IC stage EC risk.

Robotic-assisted surgery for endometrial cancer: a comparison of surgical and oncologic outcomes in patients with low and high BMI at an Indian tertiary care center

The robotic-assisted surgery for endometrial cancer (EC) is becoming increasingly important, owing to the superior surgical outcomes. However, efficacy data from India is limited, particularly for older women who are obese. We undertook this study to compare the surgical outcomes of robotic-assisted surgery among Indian EC patients with a BMI of < 30 and ≥ 30 kg/m2. A retrospective chart review was conducted for the period of May 2016 to October 2020. Data on patient demographics, medical history, clinical characteristics, and perioperative outcomes were collected by a single senior surgeon, followed by statistical analysis. A total of 99 patients; 39 in the BMI group < 30 and 60 in the BMI group ≥ 30 kg/m2 were included in the study. The mean age of the BMI groups < 30 and ≥ 30 kg/m2 was 60.92 ± 10.43 and 58.90 ± 8.52 years respectively (P = 0.2944). The mean total operating time was slightly higher in the BMI group < 30 kg/m2 (P = 0.8552) but the difference was not statistically significant. Similarly, the mean blood loss (P = 0.2041), length of hospital stays (P = 0.6564), early (P = 0.7758) and delayed complications (P = 0.1878) were less in the BMI group < 30 kg/m2 but the difference was not statistically significant either. At a median follow-up of 22.3 months, the number of recurrences (5.13% vs 3.33%) and deaths (2.56% vs 1.67%) were more in BMI < 30 kg/m2 group. Our study suggests that obese older women predisposed to multiple medical co-morbidities and surgical complications would especially benefit from robotic-assisted technology regardless of their BMI.

Optimizing Outcomes through a Multidisciplinary Team Approach in Endometrial Cancer

This study aimed to assess the impact of a multidisciplinary team (MDT) approach on outcomes with endometrial cancer (EC) patients, utilizing 2013-2020 data from the Reggio Emilia Cancer Registry. Recurrence rate, treatments, and outcome indicators were compared between the MDT (319 cases) and non-MDT (324 cases) groups. Among 643 cases, 52.4% were over 65 years old, 98% had microscopic confirmation, and 73% were in stage I. Surgery was performed in 89%, with 41% receiving adjuvant therapies. Recurrence rates (10%) were similar between the two groups, but MDT patients who were older and predominantly in stage I exhibited 79% recurrence within one year (21% in the non-MDT group). Disease-free survival (DFS) showed no significant difference [HR 1.1; 95% CI 0.7-1.6], while differences in overall survival (OS) were notable [HR 1.5; 95% CI 1.0-2.4]. The 5-year OS rates were 87% and 79% in the MDT and non-MDT groups. Comparing the 2013-2015 to 2016-2020 study periods, a shift towards caring for older women, more advanced-stage patients, and those residing outside the metropolitan area, along with a greater number of relapsed cases (from 16% to 76%), were accounted for. These findings underscore the impact of an MDT on EC outcomes, highlighting the evolving patient demographics over time.

Development and validation of a prognostic nomogram model incorporating routine laboratory biomarkers for preoperative patients with endometrial cancer

BACKGROUND

Some biomarkers collected from routine laboratory tests have shown important value in cancer prognosis. The study aimed to evaluate the prognostic significance of routine laboratory biomarkers in patients with endometrial cancer (EC) and to develop credible prognostic nomogram models for clinical application.

METHODS

A total of 727 patients were randomly divided into a training set and a validation set. Cox proportional hazards models were used to evaluate each biomarker's prognostic value, and independent prognostic factors were used to generate overall survival (OS) and progression-free survival (PFS) nomgrams. The efficacy of the nomograms were evaluated by Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves, decision curve analysis (DCA), calibration curves, X-tile analysis and Kaplan‒Meier curves.

RESULTS

Ten significant biomarkers in multivariate Cox analysis were integrated to develop OS and PFS nomograms. The C-indices of the OS- nomogram in the training and validation sets were 0.885 (95% confidence interval (CI), 0.810-0.960) and 0.850 (95% CI, 0.761-0.939), respectively; those of the PFS- nomogram in the training and validation sets were 0.903 (95% CI, 0.866-0.940) and 0.825 (95% CI, 0.711-0.939), respectively. ROC, DCA and calibration curves showed better clinical application value for the nomograms incorporating routine laboratory biomarkers. X-tile analysis and Kaplan‒Meier curves showed that the nomograms were stable and credible in evaluating patients at different risks.

CONCLUSIONS

Nomogram models incorporating routine laboratory biomarkers, including NLR, MLR, fibrinogen, albumin and AB blood type, were demonstrated to be simple, reliable and favourable in predicting the outcomes of patients with EC.

Comparison of clinical characteristics and prognosis between type I and type II endometrial cancer: a single-center retrospective study

OBJECTIVES

To explore the differences in clinical characteristics, prognosis, and risk factors between type I and type II endometrial cancer (EC).

MATERIALS AND METHODS

We retrospectively collected EC patients diagnosed with type I or type II EC from 2009 to 2021 in the First Affiliated Hospital of Zhengzhou University.

RESULTS

In total, 606 eligible EC patients (396 type I, and 210 type II) were included. Baseline analyses revealed that type II patients were older, had more advanced clinical stage, were more likely to receive chemoradiotherapy, and had higher incidence of myometrial infiltration, cervix involvement, lymph node metastasis and positive ascites cytology. Type II significantly favored poorer overall survival (OS) (HR = 9.10, 95%CI 4.79-17.28, P < 0.001) and progression-free survival (PFS) (HR = 6.07, 95%CI 2.75-13.37, P < 0.001) compared to type I. For all included EC, univariate and multivariate COX analyses revealed age, myometrial infiltration and pathological type were independent risk factors for OS and PFS. Subgroup analyses identified age, menopause, clinical stage, and lymph node metastasis as independent risk factors for type I regarding OS. While age, myometrial infiltration and chemoradiotherapy were identified as risk and protective factors for type II regrading OS. Age and cervix involvement were identified as independent risk factors for type I regarding PFS. Myometrial infiltration was identified as independent risk factor for type II regarding PFS.

CONCLUSION

Type II patients shared different clinical characteristics and worse prognosis compared to type I, and their independent risk and protective factors also varied.

Impact of COVID-19 Pandemic on the Diagnostic and Therapeutic Management of Endometrial Cancer: A Monocentric Retrospective Comparative Study

Endometrial cancer represents an ideal target to evaluate the impact of COVID-19 being the most frequent gynecological malignancy in Italy, generally detected at early stages and correlated with favorable oncological outcomes. The present comparative retrospective study carried out at Campus Bio-medico University Foundation in Rome aims to evaluate the impact of the COVID-19 pandemic on the presentation, diagnosis and treatment of EC. All women with a histological diagnosis of non-endometrioid and endometrioid endometrial cancer between 1 March 2018 and 31 October 2022 were included. The number of cases was higher in period 2 (95 vs. 64 cases). Time to diagnosis did not show statistically significant differences but in period 2, 92.06% of the diagnoses were made following abnormal uterine bleeding, while in period 1, only 67.02% were. The waiting time for the intervention was significantly shorter in period 2. Definitive histology, FIGO staging, surgical technique and adjuvant therapy did not show significant differences between the two periods. The study demonstrates that the impact of the COVID-19 pandemic did not have a direct effect on the diagnostic delay, tumor staging and type of therapy but rather on the presentation pattern of endometrial cancer.

Budget impact analysis of molecular subtype profiling in endometrial cancer

OBJECTIVE

This study evaluated the costs associated with four approaches to classifying endometrial cancer (EC), including histomorphological, histomorphological with ancillary immunohistochemical assays, histomolecular and selective molecular classification.

METHODS

Direct costs were determined per EC sample from the hospital's perspective. A budget impact analysis and sensitivity analysis were conducted to estimate the mean, minimum and maximum costs per sample and annual institutional costs in adjusted 2022 Canadian dollars. A provincial cost forecast was projected based on expected 2022 EC biopsies.

RESULTS

In 2018, our institution performed 190 EC biopsies. The mean cost per biopsy was $158 ($156-$212) for histomorphological classification, $384 ($360-$514) for histomorphological classification with immunohistochemistry and $1297 ($1265-1833) for histomolecular classification. Total annual institutional cost for histomorphological classification was $29,980 and $72,950 with immunohistochemistry. For histomolecular classification, the first year cost was $246,521, accounting for initial educational learning curve, and $233,461 thereafter, assuming a consistent number of biopsies per year. Targeted implementation of histomolecular classification among high-grade, p53 abnormal and/or MMR-deficient ECs (56% of cases) cost $169,688 in the first year and $162,418 annually thereafter. With a projected 3400 EC biopsies in Ontario in 2022, histomorphological classification would annually cost $537,078 and $1,305,677 with immunohistochemistry. Histomolecular classification would cost $4,410,203 in the first year and $4,176,737 annually once established. Selective molecular classification would lead to a cost of $3,044,178 in the first year and $2,913,443 thereafter.

CONCLUSIONS

The study highlights the need for informed decision-making when implementing molecular classification in clinical practice, given the substantial incremental healthcare costs associated with these approaches.

MicroRNAs, long non-coding RNAs, and circular RNAs and gynecological cancers: focus on metastasis

Gynecologic cancer is a significant cause of death in women worldwide, with cervical cancer, ovarian cancer, and endometrial cancer being among the most well-known types. The initiation and progression of gynecologic cancers involve a variety of biological functions, including angiogenesis and metastasis-given that death mostly occurs from metastatic tumors that have invaded the surrounding tissues. Therefore, understanding the molecular pathways underlying gynecologic cancer metastasis is critical for enhancing patient survival and outcomes. Recent research has revealed the contribution of numerous non-coding RNAs (ncRNAs) to metastasis and invasion of gynecologic cancer by affecting specific cellular pathways. This review focuses on three types of gynecologic cancer (ovarian, endometrial, and cervical) and three kinds of ncRNAs (long non-coding RNAs, microRNAs, and circular RNAs). We summarize the detailed role of non-coding RNAs in the different pathways and molecular interactions involved in the invasion and metastasis of these cancers.

Ultrasonography, macroscopy, and frozen section: whıch is better for predicting deep myometrial invasıon in endometrial cancer?

OBJECTIVE

The aim of this study was to compare the power of preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section for predicting deep myometrial invasion in endometrial cancer.

METHODS

This is a retrospective review involving 68 patients who underwent surgical staging for endometrial cancer from 2014 to 2017. Patients with grade 3 endometrial cancer and non-endometrioid tumors were excluded. The findings related to preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section were compared with definitive histopathological diagnosis.

RESULTS

The mean age, gravidity, and body mass index of the patients were 58.1±8.9 years (range: 30-80 years), 3.2±2.1 (range: 0-9), and 33.5±6.6 kg/m2 (range: 20-52 kg/m2), respectively. Only 11 (16.2%) patients were in the premenopausal period, while 57 (83.8%) were in the postmenopausal period. Grade 1 endometrial cancer was found in 29 patients (42.6%) and grade 2 tumors were specified in 39 patients (57.4%). Stage IA disease was found in 45 (66.2%) patients, while stage IB disease was observed in 23 (33.8%) patients. The 5-year survival rate was 91.2%. The sensitivity of preoperative transvaginal ultrasonography, intraoperative macroscopic examination, and frozen section were 56, 34, and 52%, respectively, for predicting deep myometrial invasion. In contrast, the specificity of preoperative ultrasonography, intraoperative macroscopic examination, and frozen section were 86, 100, and 100%, respectively.

CONCLUSION

Transvaginal ultrasonography and intraoperative frozen section were found to have similar sensitivity and specificity for predicting deep myometrial invasion. Preoperative transvaginal ultrasonography appears as an efficient approach for predicting endometrial cancers with deep myometrial invasion.

Development and validation of a prognostic nomogram for predicting cancer-specific survival in advanced endometrial carcinoma after surgery: a retrospective analysis of the SEER Database

OBJECTIVE

We aimed to construct and validate a prognostic nomogram to predict cancer-specific survival (CSS) after surgery in patients with advanced endometrial carcinoma (EC).

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

The Surveillance, Epidemiology, and End Results (SEER) Database contains cancer incidence and survival data from population-based cancer registries in the USA. A total of 5445 patients from the SEER Database diagnosed with advanced EC between 2004 and 2015 were included and randomised 7:3 into a training cohort (n=3812) and a validation cohort (n=1633).

OUTCOME MEASURE

CSS.

RESULTS

The nomograms for CSS included 10 variables (positive regional nodes, age, tumour size, International Federation of Gynecology and Obstetrics (FIGO) stage, grade, ethnicity, income, radiation, chemotherapy and historical stage) based on the forward stepwise regression results. They revealed discrimination and calibration using the concordance index (C-index) and area under the time-dependent receiver operating characteristic curve, with a C-index value of 0.7324 (95% CI=0.7181 to 0.7468) and 0.7511 (95% CI=0.7301 to 0.7722) for the training and validation cohorts, respectively. Using calibration plots, a high degree of conformance was shown between the predicted and observed results. Additionally, a comparison of the nomogram and FIGO staging based on changes in the C-index, net reclassification index and integrated discrimination improvement demonstrated that the nomogram had better accuracy and efficacy.

CONCLUSIONS

We successfully constructed an accurate and effective nomogram to predict CSS in patients with advanced EC, which may help clinicians determine optimal individualised treatment strategies for patients with advanced EC. The predictive performance of the nomogram was evaluated thoroughly, but only internally. Therefore, further validation using different data sources is warranted in future related studies.

Ipatasertib exhibits anti‑tumorigenic effects and enhances sensitivity to paclitaxel in endometrial cancer in vitro and in vivo

Endometrial cancer is the most common gynecologic cancer and one of the only cancers for which incidence and mortality is steadily increasing. Although curable with surgery in the early stages, endometrial cancer presents a significant clinical challenge in the metastatic and recurrent setting with few novel treatment strategies emerging in the past fifty years. Ipatasertib (IPAT) is an orally bioavailable pan‑AKT inhibitor, which targets all three AKT isoforms and has demonstrated anti‑tumor activity in pre‑clinical models, with clinical trials emerging for many cancer types. In the present study, the MTT assay was employed to evaluate the therapeutic efficacy of IPAT or IPAT in combination with paclitaxel (PTX) in endometrial cancer cell lines and primary cultures of endometrial cancer. The effect of IPAT and PTX on the growth of endometrial tumors was evaluated in a transgenic mouse model of endometrial cancer. Apoptosis was assessed using cleaved caspase assays and cellular stress was assessed using ROS, JC1 and tetramethylrhodamine ethyl ester assays. The protein expression levels of markers of apoptosis and cellular stress, and DNA damage were evaluated using western blotting and immunohistochemistry. IPAT significantly inhibited cell proliferation, caused cell cycle G1 phase arrest, and induced cellular stress and mitochondrial apoptosis in a dose dependent manner in human endometrial cancer cell lines. Combined treatment with low doses of IPAT and PTX led to synergistic inhibition of cell proliferation and induction of cleaved caspase 3 activity in the human endometrial cancer cell lines and the primary cultures. Furthermore, IPAT effectively reduced tumor growth, accompanied by decreased protein expression levels of Ki67 and phosphorylation of S6 in the Lkb1fl/flp53fl/fl mouse model of endometrioid endometrial cancer. The combination of IPAT and PTX resulted in increased expression of phosphorylated‑H2AX and KIF14, markers of DNA damage and microtubule dysfunction respectively, as compared with IPAT alone, PTX alone or placebo‑treated mice. The results of the present study provide a biological rationale to evaluate IPAT and the combination of IPAT and PTX in future clinical trials for endometrial cancer.

Analysis of correlation of pre-therapeutic assessment and the final diagnosis in endometrial cancer: role of tumor volume in the magnetic resonance imaging

Objective

To evaluate whether the introduction of tumor volume as new parameter in the MRI assessment could improve both concordance between preoperative and postoperative staging, and the identification of histological findings.

Methods

A retrospective observational study with 127 patients with endometrial cancer (EC) identified between 2016 and 2021 at the Juan Ramon Jimenez University Hospital, Huelva (Spain) was carried out. Tumor volume was measured in three ways. Analyses of Receiver Operating Characteristic (ROC) curve and the area under the curve (AUC) were performed.

Results

Although preoperative MRI had an 89.6% and 66.7% sensitivity for the detection of deep mucosal invasion and cervical stroma infiltration, preoperative assessment had an intraclass correlation coefficient of 0.517, underestimating tumor final stage in 12.6% of cases, with a poor agreement between preoperative MRI and postoperative staging (κ=0.082) and low sensitivity (14.3%) for serosa infiltration. The cut-off values for all three volume parameters had good/excellent AUC (0.73-0.85), with high sensitivity (70-83%) and specificity (64-84%) values for all histopathological variables. Excellent/good agreement was found all volume parameters for the identification of deep myometrial invasion (0.71), cervical stroma infiltration (0.80), serosa infiltration (0.81), and lymph node metastases (0.81).

Conclusion

Tumor volume measurements have good predictive capacity to detect histopathological findings that affect final tumor staging and might play a crucial role in the preoperative assessment of patients with endometrial cancer in the future.

Robotic omentectomy in gynecologic oncology: surgical anatomy, indications, and a technical approach

An omentectomy is a standard component care of gynecological cancers, particularly for surgical staging and treatment for malignant ovarian neoplasms, borderline tumors, fallopian tube cancers, primary peritoneal cancers as well as certain histological subtypes of endometrial cancer. Traditionally, an omentectomy is performed by an open laparotomy approach, however, use of a robotic approach has gained popularity and has been proven to be both safe and effective. In spite of the advantages of robotic surgery compared to laparotomy, the inherent technical challenges of a robotic omentectomy may limit its uptake. In this article, we review (1) the physiology and surgical anatomy of the omentum, (2) the role of the omentum in immune regulation and oncogenesis, (3) indications for an omentectomy in the setting of gynecological malignancy, and (4) describe a step-by-step 3-arm technique for performing both a infracolic and gastrocolic omentectomy procedure using a robotic approach.

An Integrated Clinical-MR Radiomics Model to Estimate Survival Time in Patients With Endometrial Cancer

BACKGROUND

Determination of survival time in women with endometrial cancer using clinical features remains imprecise. Features from MRI may improve the survival estimation allowing improved treatment planning.

PURPOSE

To identify clinical features and imaging signatures on T2-weighted MRI that can be used in an integrated model to estimate survival time for endometrial cancer subjects.

STUDY TYPE

Retrospective.

POPULATION

Four hundred thirteen patients with endometrial cancer as training (N = 330, 66.41 ± 11.42 years) and validation (N = 83, 67.60 ± 11.89 years) data and an independent set of 82 subjects as testing data (63.26 ± 12.38 years).

FIELD STRENGTH/SEQUENCE

1.5-T and 3-T scanners with sagittal T2-weighted spin echo sequence.

ASSESSMENT

Tumor regions were manually segmented on T2-weighted images. Features were extracted from segmented masks, and clinical variables including age, cancer histologic grade and risk score were included in a Cox proportional hazards (CPH) model. A group least absolute shrinkage and selection operator method was implemented to determine the model from the training and validation datasets.

STATISTICAL TESTS

A likelihood-ratio test and decision curve analysis were applied to compare the models. Concordance index (CI) and area under the receiver operating characteristic curves (AUCs) were calculated to assess the model.

RESULTS

Three radiomic features (two image intensity and volume features) and two clinical variables (age and cancer grade) were selected as predictors in the integrated model. The CI was 0.797 for the clinical model (includes clinical variables only) and 0.818 for the integrated model using training and validation datasets, the associated mean AUC value was 0.805 and 0.853. Using the testing dataset, the CI was 0.792 and 0.882, significantly different and the mean AUC was 0.624 and 0.727 for the clinical model and integrated model, respectively.

DATA CONCLUSION

The proposed CPH model with radiomic signatures may serve as a tool to improve estimated survival time in women with endometrial cancer.

EVIDENCE LEVEL

4 TECHNICAL EFFICACY: Stage 2.

CCND1-Induced Autophagy Contributes to Lymph Node Metastasis in Endometrial Cancer

Endometrial cancer with lymph node metastasis shows poor prognosis, while the biomarker to predict the metastasis is lacking. The relative mRNA or protein expression of cyclin D1 (CCND1) and autophagy-related molecules were detected in real-time PCR and Western blot. Correlation analysis was applied to identify any significant patterns, and receiver operating characteristics (ROC) was performed to assess the prediction value. CCND1 vector was transfected in Ishikawa (ISK) cells, and the relative expression of autophagy-related molecules was detected with Western blot. CCND1 was overexpressed in endometrial cancer and correlated with lymph node metastasis. ROC analysis found that CCND1 had a predictive value to discriminate tumors from normal tissues (cut off=1.455; sensitivity, 71%; specificity, 84%; area under curve (AUC) 0.82; p<0.001) and had a predictive value to indicate metastasis (cut off=1.871; sensitivity, 54.17%; specificity, 75%; AUC 0.674; p=0.003). Increased BECLIN1 (r=0.39, p<0.001) and ATG5 (r=0.41, p<0.001) expression were positively correlated to CCND1. On the other hand, the relative protein expression of CCND1, BECLIN1, ATG5, ATG7, and LC3 I/II were also increased in tumor tissues. CCND1 overexpressed ISK cells showed upregulated BECLIN1, ATG5, ATG7, and LC3 I/II expression. CCND1 promoted autophagy may contribute to lymph node metastasis in endometrial cancer.

Clinical characterization and genomic landscape of gynecological cancers among patients attending a Chinese hospital

Background

Gynecological cancers are the most lethal malignancies among females, most of which are associated with gene mutations. Few studies have compared the differences in the genomic landscape among various types of gynecological cancers. In this study, we evaluated the diversity of mutations in different gynecological cancers.

Methods

A total of 184 patients with gynecological cancer, including ovarian, cervical, fallopian tube, and endometrial cancer, were included. Next-generation sequencing was performed to detect the mutations and tumor mutational burden (TMB). Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) enrichment analyses were also conducted.

Results

We found that 94.57% of patients had at least one mutation, among which single nucleotide variants, insertions and InDels were in the majority. TP53, PIK3CA, PTEN, KRAS, BRCA1, BRCA2, ARID1A, KMT2C, FGFR2, and FGFR3 were the top 10 most frequently mutated genes. Patients with ovarian cancer tended to have higher frequencies of BRCA1 and BRCA2 mutations, and the frequency of germline BRCA1 mutations (18/24, 75.00%) was higher than that of BRCA2 (11/19, 57.89%). A new mutation hotspot in BRCA2 (I770) was firstly discovered among Chinese patients with gynecological cancer. Patients with TP53, PIK3CA, PTEN, and FGFR3 mutations had significantly higher TMB values than those with wild-type genes. A significant cross was discovered between the enriched KEGG pathways of gynecological and breast cancers. GO enrichment revealed that the mutated genes were crucial for the cell cycle, neuronal apoptosis, and DNA repair.

Conclusion

Various gynecological cancer types share similarities and differences both in clinical characterization and genomic mutations. Taken together with the results of TMB and enriched pathways, this study provided useful information on the molecular mechanism underlying gynecological cancers and the development of targeted drugs and precision medicine.

Management of patients with recurrent/metastatic endometrial cancer: Consensus recommendations from an expert panel from Brazil

Background

Endometrial cancer is of increasing concern in several countries, including Brazil, in part because of an ageing population, declines in fertility, and the increasing prevalence of obesity. Although endometrial tumors had lagged behind other cancer types in terms of treatment improvements, molecular characterization of these tumors is paving the way for novel therapies and an expansion of the therapeutic arsenal. We aimed to help medical oncologists who manage patients with recurrent or metastatic endometrial cancer in the Brazilian healthcare setting.

Methods

The panel, composed of 20 medical oncologists, convened in November 2021 to address 50 multiple-choice questions on molecular testing and treatment choices. We classified the level of agreement among panelists as (1) consensus (≥75% choosing the same answer), (2) majority vote (50% to &lt;75%), or (3) less than majority vote (&lt;50%).

Results

Consensus was present for 25 of the 50 questions, whereas majority vote was present for an additional 23 questions. Key recommendations include molecular testing for every patient with recurrent/metastatic endometrial cancer; choice of first-line treatment according to microsatellite instability and HER2, with the addition of programmed death ligand 1 (PD-L1) and hormone receptors (HRs) for second-line therapy; carboplatin and paclitaxel as the preferred option in first-line treatment of HER2-negative disease, with the addition of trastuzumab in HER2-positive disease; pembrolizumab plus lenvatinib as a key option in second line, regardless of HER2, PD-L1 or HRs; and various recommendations regarding treatment choice for patients with distinct comorbidities.

Conclusion

Despite the existing gaps in the current literature, the vast majority of issues addressed by the panel provided a level of agreement sufficient to inform clinical practice in Brazil and in other countries with similar healthcare environments.

LncRNA-LA16c-313D11.11,A Signature to Predict Endometrial Carcinoma Patients with a Better Survival

The aim of this study was to develop and internally validate a nomogram of the probability EC patients surviving longer than 5 years. Quantitative real-time PCR (qRT-PCR) was implemented to analyze the expression of lncRNA-LA16c-313D11.11 in 60 EC tissues. The clinicopathological characteristics and follow-up data were retrospectively gathered and analyzed. To establish the prediction model, multivariate logistic regression analysis was applied, and the discrimination, calibration, and clinical practicability of the prediction model were assessed with a concordance index (C-index), calibration chart, and decision curve analysis. Bootstrap validation was performed for internal validation. The prediction factors included the age of patients, myometrial invasion, lymphovascular space invasion, histological subtype, and the expression of lncRNA-LA16C-313D11.11. The model demonstrated good calibration and modest discrimination (C-index = 0.860, 95% confidence interval: 0.724-0.946). Moreover, the interval validation achieved a high C-index value of 0.778. This study revealed the predictive value of lncRNA-LA16C-313D11.11 and successfully developed a nomogram for predicting EC patients survival longer than 5 years, which may facilitate the institution of personalized treatment algorithms, surveillance strategies, and lifestyle interventions.

Risk stratification and molecular heterogeneity of endometrial cancer and expression profile of TIM-3: A retrospective cohort study

OBJECTIVE

The present study aimed to implement ProMisE classification and risk grouping on a retrospective cohort of 628 patients with endometrial cancer (EC) and determine the molecular heterogeneity across subtypes and subgroups, as well as to investigate the potential beneficiary for TIM-3 checkpoint inhibition in ECs.

METHODS

Protein expressions of p53, MMR, TIM-3 and CD8 were measured by immunohistochemistry, and massively parallel sequencing was conducted for 128 cancer-related genes. Patients were categorized into four ProMisE subtypes: MMR-deficient (MMRd), POLE-ultramutated (POLEmut), p53-wild type (p53wt), and p53-abnormal (p53abn), and were subjected to risk classification.

RESULTS

43 (6.9%) patients belonged to POLEmut, 118 (18.8%) to MMRd, 69 (11%) to p53abn, and 398 (63.3%) to p53wt. Compared to the 2016 stratification system, the 2021 ESGO/ESTRO/ESP risk stratification integrated with molecular classification revealed that 11 patients (11/628, 1.8%) were upgraded due to the p53abn signature, whereas 23 patients (23/628, 3.7%) were downgraded due to the POLEmut signature. JAK1 and RAD50 mutations showed higher frequencies in patients with aggressive phenotypes. RAD51B mutation was significantly related to poor RFS of the p53wt subtype but not of the other three molecular subgroups. TIM-3 expression was detected in 30.9% immune cells (ICs) and 29.0% tumor cells (TCs) in ECs, respectively. It was frequently expressed in POLEmut and MMRd ECs as compared to that in the other two molecular subtypes in TCs and ICs.

CONCLUSIONS

Our study revealed the molecular heterogeneity across subtypes and subgroups. The new risk stratification system changed the risk grouping of some patients due to the integration of molecular features. RAD51B mutation can further stratify the recurrence risk in the p53wt subtype. Patients with MMRd or POLEmut may benefit most from immunotherapy against TIM-3.

Surgical Outcomes Following Robotic Single-Site Versus Multiport Hysterectomy for Treatment of Endometrial Cancer: A Systematic Review and Meta-Analysis

Robotic single-site hysterectomy (RSSH) has emerged as a novel surgical approach for the treatment of endometrial cancer and atypical endometrial hyperplasia (AEH). Current research regarding the benefits of RSSH compared to robotic multiport hysterectomy (RMPH) for these indications has been inconclusive. Our team sought to compare surgical outcomes between these two approaches of robotic hysterectomy via systematic review and meta-analysis to ensure optimal surgical practices. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 Checklist guided our review. MEDLINE, Clinicaltrials.gov, and Cochrane Library were searched, yielding 59 results. Articles were filtered by title and abstract and then reviewed in full for inclusion and exclusion criteria. Inclusion criteria required that (1) studies compared outcomes for RSSH and RMPH, (2) hysterectomy was indicated for endometrial cancer or hyperplasia with atypia, and (3) studies were available in English. Excluded studies (1) compared single-site and multiport laparoscopic approaches, (2) compared robotic approaches to laparoscopic or abdominal (open) techniques, and (3) employed hysterectomy for benign conditions. Publication bias was assessed using the Egger Regression Correlation analysis. Four studies complied with the selection criteria, comprising 138 patients in the RSSH group and 259 in the RMPH group. Similar outcomes were noted across all measures, including conversion rate (relative risk [RR] = 1.84 and confidence interval [CI] = 0.99-3.43), blood loss (Cohen's d = 1.05 and Z = 18.62), operating time (Cohen's d = 0.29 and Z = 4.38), and length of hospital stay (Cohen's d = 1.06 and Z = 3.86). Publication bias was deemed minimal as indicated by Egger regression values of less than 0.05. These findings suggest that either a surgical approach or AEH with the proper standard of care can provide patients with endometrial cancer.

The Association between Diabetes Mellitus, High Monocyte/Lymphocyte Ratio, and Survival in Endometrial Cancer: A Retrospective Cohort Study

This retrospective cohort study aimed to evaluate the factors related to endometrial cancer (EC) prognosis and survival in eastern Taiwan. The study involved 48 patients diagnosed with EC who underwent hysterectomy-based surgery at Hualien Tzu Chi hospital between January 2011 and June 2021. The patients’ medical history and laboratory examination results were reviewed. Progression-free survival and overall survival were determined. Categorical variables were analyzed using the chi-square test, and continuous variables were analyzed using the independent t-test. The receiver operating characteristic curve was used to predict diagnostic value. Factors associated with cancer mortality were identified via Cox regression analysis (p < 0.05). Patients were divided into the death (n = 7) and survival (n = 41) groups. The median age of the patients was 56 years (range: 31−71 years). The median observation period was 33.29 months. Diabetes mellitus (DM) and monocyte/lymphocyte ratio (MLR) > 0.23886 were significantly associated with cancer mortality (p = 0.024 and p = 0.028, respectively). MLR-low and MLR-high groups exhibited 5-year overall survival rates of 96% and 60%, respectively, and 5-year progression-free survival rates of 96% and 41%, respectively. DM and MLR of >0.2386 were suggested to be associated with cancer death, poor overall survival, and progression-free survival.

ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG May Serve as Diagnostic and Prognostic Biomarkers in Endometrial Carcinoma

Uterine Corpus Endometrial Carcinoma (UCEC), the most common gynecologic malignancy in developed countries, remains to be a major public health problem. Further studies are surely needed to elucidate the tumorigenesis of UCEC. Herein, intersecting 203 differentially expressed genes (DEGs) were identified with the GSE17025, GSE63678, and The Cancer Genome Atlas-UCEC datasets. The Gene Ontology/Kyoto Encyclopedia of Genes and Genomes functional enrichment analysis and protein-protein interaction (PPI) network were performed on those 203 DEGs. Intriguingly, 6 of the top 10 nodes in the PPI network were related to unfavorable prognosis, that is, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG. The mRNA and protein expression levels of the 6 hub genes were elevated in UCEC tissues compared to normal tissues. Higher expression of the 6 hub genes was associated with poor prognostic clinicopathological characteristics. The receiver operating characteristic curve suggested the significant diagnostic ability of the 6 hub genes for UCEC. Then, underlying pathogeneses of UCEC including promoter methylation level, TP53 mutation status, genomic genetic variation, and immune cells infiltration were analyzed. The mRNA expression level of the 6 hub genes was also higher in cervical squamous cell carcinoma and endocervical adenocarcinoma, uterine carcinosarcoma, and ovarian serous cystadenocarcinoma tissues than in corresponding normal tissues. In conclusion, ASPM, CDC20, DLGAP5, BUB1B, CDCA8, and NCAPG may be considered diagnostic and prognostic biomarkers in UCEC.

Less is more in endometrial cancer (SLN, conservative treatment, radical hysterectomy, molecular classification)

PURPOSE OF REVIEW

The management of endometrial cancer has known many evolutions within the last decades. In this review, we aim to summarize recent evolutions (mainly toward less aggressive management) that have occurred in the management of endometrial cancer.

RECENT FINDINGS

Enhanced by molecular classification, the determination of lymph node status, in young women, in case of cervical invasion, the treatment is evolving toward a less aggressive strategy.

SUMMARY

The predictive value and the safety of sentinel lymph node biopsy explain why most societies propose to abandon systematic pelvic and para aortic lymphadenectomy. For young women, the safety of fertility preservation is now well established and efficient protocols have been validated. In stage II endometrial cancer (stromal cervical invasion), radical hysterectomy appears excessive. The Cancer Genome Atlas classification increases prognostic evaluation in association with the traditional pathological classification and permits to tailor adjuvant treatment more accurately.

Upregulated keratin 15 links to the occurrence of lymphovascular invasion, stromal cervical invasion as well as unfavorable survival profile in endometrial cancer patients

Keratin 15 (KRT15) overexpression links with tumor initiation, metastasis, and poor survival in several solid carcinomas. While its clinical relevance is scarcely reported in endometrial cancer (EC). Therefore, the current study aimed to investigate the abnormal expression of KRT15 and its correlation with clinical characteristics, survival in EC patients. Totally, 135 surgical EC patients were enrolled. KRT15 protein expression in formalin-fixed and paraffin-embedded tumor and adjuvant tissues was detected by immunohistochemical staining; meanwhile, KRT15 mRNA expression in fresh-frozen tumor and adjacent tissues was detected by reverse transcription-quantitative polymerase chain reaction. KRT15 protein and mRNA expressions were higher in tumor tissue compared with adjacent tissue (both P < .001). Elevated KRT15 protein expression was correlated with the occurrence of lymphovascular invasion (P = .010) and more advanced International Federation of Gynecology and Obstetrics stage (P = .018); meanwhile, elevated KRT15 mRNA expression was linked with more advanced International Federation of Gynecology and Obstetrics stage (P = .038) and marginally associated with the occurrence of stromal cervical invasion (P = .052). Besides, KRT15 protein and mRNA expressions were not correlated with other clinical features (all P > .05). KRT15 protein high was marginally correlated with poor accumulating disease-free survival (DFS) (P = .091) and overall survival (OS) (P = .059); meanwhile, the correlation of KRT15 mRNA expression with accumulating DFS (P = .212) and OS (P = .092) was even weaker. However, multivariate Cox's regressions showed that tumor KRT15 protein (high vs low) was independently correlated with poor DFS (P = .045) and OS (P = .043). KRT15 is abnormally increased in EC tissue, meanwhile, its upregulation links to the occurrence of lymphovascular invasion, stromal cervical invasion, and poor prognosis in EC patients.

Endometrial Carcinoma: Molecular Cytogenetics and Transcriptomic Profile

Endometrial carcinomas (ECs) are histologically classified as endometrioid and nonendometrioid tumors, with each subgroup displaying different molecular profiles and clinical outcomes. Considerable biological and clinical heterogeneity exists within this scheme, however, reflecting its imperfection. We aimed to gather additional data that might help clarify the tumors’ pathogenesis and contribute toward a more meaningful classification scheme. In total, 33 ECs were examined for the presence of chromosomal aberrations, genomic imbalances, pathogenic variants, microsatellite instability, and expression profiles at both gene and miRNA levels. Chromosome 1 was the most frequently rearranged chromosome, showing a gain of all or part of the long arm. Pathogenic variants were found for PTEN (53%), PDGFRA (37%), PIK3CA (34%), and KIT (31%). High microsatellite instability was identified in 15 ECs. Comparing tumors and controls, we identified 23 differentially expressed genes of known importance in carcinogenesis, 15 genes involved in innate and adaptative immune responses, and altered expression of 7 miRNAs. miR-32-5p was the most upregulated. Our series showed a high degree of heterogeneity. Tumors were well-separated from controls, but there was no clear-cut separation between endometrioid and nonendometrioid ECs. Whether this means that the current phenotypic classification is of little relevance or if one still has not detected which genomic parameters to enter into correlation analyses remains unknown.

Diagnostic Cytopathology of Peritoneal Washings

Peritoneal washings used for cytologic evaluation are collected at the outset of surgical exploration of women with gynecologic cancers to assist in determining extent of disease and follow-up therapy.

While there are similarities to ascites, these samples have differences that must be recognized in order to avoid false positive interpretations. Non-neoplastic mesothelial alterations including heterogeneous reactive changes, endosalpingiosis , endometriosis and tumor rupture are typically not seen in ascites samples but can be seen in peritoneal washings from women with malignancies that have not extended to the peritoneal cavity.

Awareness of these potential pitfalls and knowledge of the associated tumor type will facilitate accurate interpretation. When these caveats are recognized, peritoneal washing cytology results are a useful adjunct in helping to determine patient follow-up in women with gynecologic malignancies.

Neural plasticity of the uterus: New targets for endometrial cancer?

Endometrial carcinoma is the most common gynecological malignancy in Western countries and is expected to increase in the following years because of the high index of obesity in the population. Recently, neural signaling has been recognized as part of the tumor microenvironment, playing an active role in tumor progression and invasion of different solid tumor types. The uterus stands out for the physiological plasticity of its peripheral nerves due to cyclic remodeling brought on by estrogen and progesterone hormones throughout the reproductive cycle. Therefore, a precise understanding of nerve-cancer crosstalk and the contribution of the organ-intrinsic neuroplasticity, mediated by estrogen and progesterone, of the uterine is urgently needed. The development of new and innovative medicines for patients with endometrial cancer would increase their quality of life and health. This review compiles information on the architecture and function of autonomous uterine neural innervations and the influence of hormone-dependent nerves in normal uterus and tumor progression. It also explores new therapeutic possibilities for endometrial cancer using these endocrine and neural advantages.